Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Last update: Nov 22, 2021

Overview

Linear Models

Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers.

Linear Regression

Optimizer: Square Least
Regularizer: None

Lasso Regression

Optimizer: Gradient Decent
Regularizer: L1

Ridge Regression

Optimizer: Gradient Decent
Regularizer: L2

Owner

Keivan Ipchi Hagh

ISTP-A | Kaggle Contributor | ML Enthusiast

GitHub Repository

Automatic extraction of relevant features from time series:

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Evaluate on three different ML model for feature selection using Breast cancer data.

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